How Australian firms are using AI in customer experience

At the recent Zendesk Future of Service event in Sydney, Australian technology leaders showcased innovative applications of artificial intelligence (AI) in customer service. This event provided insights into how companies are integrating AI to enhance customer experience and streamline operations, with a focus on real-world case studies from local firms.

Transforming Customer Experience with AI

One of the standout presentations came from MYOB, which introduced its new mobile-first product, Solo, aimed at addressing the needs of sole traders. According to Sally Davies, general manager of Solo by MYOB, research revealed that over half of these business owners relied on spreadsheets for their accounting needs, leading to disorganized financial management. Many sole traders, driven by their passion for their craft, often intertwine their personal and business finances, with 75% using personal bank accounts for business transactions. This habit complicates their administrative tasks.

To tackle these challenges, Solo simplifies the accounting process by focusing on basic financial concepts of “money in” and “money out.” It integrates financial services, including a dedicated bank account, which centralizes administrative work for sole traders. This integration allows MYOB to leverage AI to automate complex tasks, such as end-of-month reconciliation, by matching receipts and bank transactions automatically.

Davies explained that the traditional reconciliation process, which could involve five or six steps, is now reduced to a single step: users can simply take a photo of their receipt. However, the AI's accuracy is not infallible. When the confidence level of the AI in interpreting a result falls below a certain threshold, users are prompted to confirm or correct the AI’s interpretation. Initially, distinguishing between business and personal expenses was a significant part of the workflow, but as the AI models improved, this step has become less frequent.

MYOB’s collaboration with Zendesk has been pivotal in this development. Davies emphasized that product design should incorporate service as a feature from the outset, shifting the focus from user interface design to the overall customer experience. This approach has resulted in a digital-first, AI-first support model that provides proactive guidance during tasks, complemented by a Zendesk-powered chatbot that resolves 90% of user issues. This performance significantly exceeds industry standards, indicating the effectiveness of their integrated design philosophy.

AI in Quick-Service Restaurants

In a different sector, Guzman y Gomez (GYG) is also harnessing AI to improve operational efficiency in its kitchens. The company has implemented AI-based software in several restaurants to dynamically allocate food preparation tasks across two lines, aiming to fulfill its commitment to delivering food that is “hotter, fresher, faster.” Currently, this order management system (OMS) is operational in nine restaurants, with plans for a national rollout.

Bryce Maybury, GYG's CTO, outlined the potential for further integration of AI in their operations. One concept under consideration is using AI to predict when to activate the second preparation line before the first becomes overwhelmed. This requires analyzing complex data, including order modifications and preparation times, to optimize kitchen performance. Maybury noted that even a 15-minute early activation of the second line could significantly enhance customer experience by reducing wait times.

As GYG continues to explore AI's capabilities, Maybury highlighted the importance of human oversight in kitchen operations. While AI can provide valuable predictions, the ultimate decision-making will remain with human managers. Additionally, GYG is utilizing AI tools like Cursor and Claude Code to expedite software development, with 80% of their code now generated by AI agents. This shift allows the company to focus on addressing challenges faced by restaurants and delivering new features more rapidly.

The Future of AI in Financial Services

In the financial sector, Aware Super is exploring the potential of agentic AI to enhance member servicing. Richard Exton, the group executive and chief technology and data officer, discussed the early testing of an AI coach designed to provide financial literacy advice. Interestingly, some members have expressed a greater comfort level discussing finances with an AI compared to human advisors. Exton emphasized that Aware Super's proprietary member data and regulatory status provide a significant advantage over public AI tools, which may lack contextual understanding and robust data protection.

Exton also highlighted the importance of approaching AI implementation from an organizational perspective, ensuring that all staff are equipped with the necessary tools and training. He cautioned against rushing into proofs of concept without first understanding the expected value AI can bring to specific contexts. Governance, particularly concerning data privacy and security, is also crucial in maintaining trust and reputation.

Zendesk's CTO, Adrian McDermott, pointed out that while AI's role in automating support conversations has become well-established, its next frontier lies in supervisory functions. AI can monitor human agent interactions, providing coaching based on performance metrics. Additionally, AI can perform preparatory tasks, analyzing data and compiling notes before a support ticket reaches a human agent, thus streamlining the workflow.

As AI continues to evolve, its integration into various sectors, including customer service, quick-service restaurants, and financial services, demonstrates its transformative potential. Companies like MYOB, GYG, and Aware Super are leading the way in leveraging AI to enhance efficiency, improve customer experiences, and redefine operational processes.

Why it matters

The integration of AI into customer service and operational processes signifies a paradigm shift for creators and technologists. For creators, understanding how AI can streamline workflows and enhance user experiences is crucial in developing innovative products. The emphasis on designing service as a feature highlights the importance of user-centric design, where customer support is seamlessly integrated into the product experience.

For technologists, the advancements in AI applications underscore the need for continuous learning and adaptation. As AI technologies evolve, professionals must stay informed about best practices in implementation, governance, and data privacy. The successful case studies from MYOB, GYG, and Aware Super serve as valuable lessons for organizations looking to harness AI's potential effectively and responsibly.